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International Journal of Engineering Research and Generic Science (IJERGS) Available Online at www.ijergs.in ISSN:2455-1597 Volume 1; Issue 1; Page No. 21-27 An Improved Analysis for E-Learning by Using Data Mining Process with a Simple Rule based Classification Technology Ganesh Kumar Jangid, Amar Singh Ratore, Hardik Kumar Patel [email protected] M.Tech. Scholar in Computer Science and Engineering Ganpat University, Ganpat Vidyanagar, Mehsana-Gozaria Highway, Kherva, Gujarat, India Abstract E-learning environments are becoming increasingly popular in educational establishments. A popular form of e-learning is online exams and quizzes. Most of the online exams and quizzes are inadequate as they fail to provide a thorough analysis of the results due to which students are unacquainted of their weak areas in the respective subjects. Educators are finding it harder to focus on students performing poorly in respective subjects and learners are finding it difficult to make a decision about which learning materials best meet his/her situation due to more and more learning material available online. This paper presents a design of a proposed system known as E-Tutor. The proposed system offers an e-learning application integrated with an online quiz system which would predict the understanding level of students and automatically recommend favourable learning content by analysing the performance of students in online quizzes using classification algorithm in data mining. Corresponding Author: Ganesh Kumar Jangid Page 1. Introduction Due to an incredible improvement in Internet knowledge and World Wide Web, the conception of online learning has grow to be reasonably admired amid students and teachers all through because previous decade. As a consequence, online learning systems are expansively used in schools and colleges incorporated with conventional classroom training to encourage knowledge and enhanced considerate of concepts using audio/visual aids. These online learning systems consist of audio & video instruction, tutorials, online books, text lessons, journals, short quizzes & exams. All these stuffing are simply available to students on stipulate. Online quizzes and exams are one. Such as trendy and imperative form of online learning apparatus. It provides an array of remuneration to both students as well as teachers. Some of the recompense of online quizzes are as follows: Reduced efforts E-learning relieves the require for testing to be complete at a detailed hour, but it also makes testing a hassle-free task as corrections are mechanical. In the cases of "Essay Question" tests, e-learning systems are regularly prepared with keyword tracking tools that evaluation depending on what has been mentioned in the essays. Uniqueness Testing and quizzing can be completed inimitable by randomizing inquiry and answers picked from large pool of questions slightly than just recycling through same sets of questions all over again Instant Grading and feedback Grading manually is possibly the majority time intense task for the mentor. Though, in online learning systems it’s just a substance of few seconds. It’s wherever the trainers has the capability to observation on the strengths and weaknesses of a learner and facilitate learning to essentially take consigning. In-depth analysis In-depth analysis can be accomplished on consequences to extract useful information regarding students. Eco-friendly Going from hard-copy tests/ quizzes to contribution the same capabilities online reduces utilization of goods such as paper. Powerful self-assessment tool Testing and quizzing online will frequently supply the user with consequences immediately. This is excellent for students since it allows them to distinguish what they did incorrect instantly, what they require to focus on, and how to progress should they have to retake the test. However the quizzes obtainable online are insufficient as they fail to contribute a complete analysis of consequences. Such inadequate quizzes only inform to student, the achieved and the questions which went right/wrong. The assignment of the proposed system is to take existing system to the subsequently height. In 21 Keywords: E-learning, Data, Mining, Processing, Tools, FSS, SPA, UNIMAS Ganesh Kumar Jangid, et al. International Journal of Engineering Research and Generic Science (IJERGS) proposed system, the quiz segment is separated into dissimilar subjects and each subject is additional separated into 10 chapters. Each query in quiz has a text clarification, video explanation, indication link of the mainly appropriate study substance on web and PDF content connected with it. The scores of a student for all the chapters of a individual issue will be analysed and fed into categorization algorithm which will calculate presentation level of the student. If the presentation of the student is dilapidated, then the respective faculty and student will be notified and recommendations for study substance will be provided to student by system as well as faculty. Abbreviations PACR Performance Analyser and Content Recommender C Course PL Performance Level 2. Literature Survey An environment study is complete to evaluation comparable existing systems used to execute student presentation analysis. Three existing system are selected since these systems are comparable to the proposed system. 2.1 Faculty Support System Shana and Venkatacalam has proposed a framework named Faculty Support System (FSS) which is low in cost as it uses cost effective open source analysis software, WEKA to analyze the students’ presentation in a course available by Coimbatore Institute of Technology of Anna University [1]. FSS is capable to analyze the students’ data animatedly as it is capable to inform of students’ data animatedly with the stream of time to generate or add a new rule. The in form of new rule is probable with the help from domain expert and the regulation is resolute by data mining technique such as classification technique. Classification technique is used to calculate the students’ presentation. Besides, FSS focus on the classification of factors that supply to presentation of students in a particular course. 2.2 Student Performance Analyzer SPA is existing secure online web-based software that enables educators to view the students’ presentation and keep pathway of the school’s data. The SPA is a tool planned for analyzing, displaying, storing, and getting feedback of student evaluation data [3]. It is an influential analyzer tool used by schools worldwide to execute analysis and displays the analysis data once untreated student data is uploaded to the system. The analysis is done by tracking the student or class to get the overall arrangement of student or class. It helps to recognize the students’ presentation which is lower the predictable level, at conventional level or above the expected level. This would allocate the educators or staffs to recognize the current students’ presentation easily. Other than that, it enables a variety of kinds of students’ presentation statement such as advancement report and accomplishment description to be generated. 2.3 Intelligent Mining and Decision Support System In Minds helps University Malaysia Sarawak (UNIMAS) to monitor the presentation of a variety of areas in every UNIMAS’s departments [2]. The system enables top and mid-management in UNIMAS to have a apparent look on the areas that desirable concentration by looking at the statistics, revenues and risks. The features, ease of use and suppleness provided by the system makes the presentation scrutiny in UNIMAS to be performed in an ideal solution. Charts are provided by the system for ease of student performance’s explanation. 2.4 Student Analysis Performance system (SPAS) Chew Li Sa, Dayang Hanani bt. Abang Ibrahim, Emmy Dahliana Hossain, and Mohammad bin Hossin have proposed a system which offer a predictive system that is capable to calculate the students’ presentation in course “TMC1013 System Analysis and Design”,. In University Malaysia Sarawak (UNIMAS) using BF Tree organization algorithm which predicts whether the student is going to pass or fails in the current semester based on overall educational presentation during the course of the whole semester. A. Quiz © IJERGS, All Rights Reserved. Page activities, this document uses simple regulation based categorization technique for classification activities. 3. Proposed System Few descriptions from the existing systems are incorporated in the performance of the proposed system. These include the easy user border, students’ performance prediction, diagram displays and report generation. In accumulation, the proposed system consists of quiz segment and recommender which will suggest study substance to students. With all these description in the proposed system, all the user requests will be contented. The proposed system is alienated into subsequent modules/entities and these modules are included together to form a whole submission. 22 From the reviews on these existing systems, useful techniques and features could be functional into the proposed system for an improved system’s presentation. Although, the above documents use WEKA for data mining Ganesh Kumar Jangid, et al. International Journal of Engineering Research and Generic Science (IJERGS) B. Performance Analyzer and Content Recommender (PACR) C. Student D. Faculty Figure 1: Architecture of proposed system 3.1 Student Module Student module includes student individual. All the students of an organization will have to register themselves on the submission to admittance its features. Although register following attributes of student are in use into deliberation. Attribute Name Description Student_ID Id of student Student Name Name of Student Roll_No Roll Number Class Current Class of study Division Division Email Institutional Email Contact Contact Number © IJERGS, All Rights Reserved. Page Registered Students can execute subsequent tasks Online Quiz Access the Online quiz by selecting respective centre and subdivision. Track Progress Student can verify their presentation chapter-wise/subject-wise and generally position amongst additional students simply with help of diagram and tart charts. Get Recommendations If student is performing unfortunate in particular chapter/subject, he/she will be mechanically provided recommendations for knowledge substance from system as well as individual subject’s faculty. Help Section Students can email their queries straight to respective subject’s faculty. Responses will be provided within 24 hours. Student has to identify the subject name and subject followed by his uncertainty. Feedback Section 23 Table 1: Student Registration Process Ganesh Kumar Jangid, et al. International Journal of Engineering Research and Generic Science (IJERGS) Student can present his precious reaction about the submission. 3.2 Faculty Module Faculty element consists of faculty individual. The proposed system is faculty proscribed submission consequently faculty has fundamental position in operational of appliance. Faculty has to register to work on appliance. Subsequent attributes of faculty are in use into deliberation during register. Attribute Name Description Faculty _ID Id of Faculty Faculty Name Name of Faculty Faculty_Subject Subject which faculty Teaches Email Institutional Email Contact Contact Number Table 1: Faculty Registration Process Description Question_ID Specifies ID of Question Course_Name Name of Subject Chapter_Name Name of Chapter Question_Text Question Question_Type Specifies question Type Easy/Medium/Hard First First Option Second Second Option Page Attribute Name 24 Faculty performs following Task Design Quiz Faculties can add/modify/delete quiz questions. Track Student Progress Faculty can monitor presentation of students’ chapter-wise/subject-wise/class-wise easily with help of diagram and tart charts. Provide Recommendations If student is performing arts poor in meticulous chapter/subject, respective subject’s faculty will be alerted so that faculty can supply essential instructions and advise best study contented. Solve queries Section All of the student queries/worries can be answered in this section. Feedback Section Faculty can evaluate the feedback of students. 3.3 Quiz Module Quiz module consist of multi-course quiz. Quiz section is separated into subjects and each subject consists of numerous chapters. The Questions of the quiz are additional into the database by faculty only. Creation of Quiz Quiz questions are produced, deleted or customized by faculty members by faculty section. © IJERGS, All Rights Reserved. Ganesh Kumar Jangid, et al. International Journal of Engineering Research and Generic Science (IJERGS) Third Third Option Fourth Fourth Option Final Correct Option First/Second/Third/Fourth Reference_Link Link of the study material File_Path File path of the Study material Video /Image/PDF Table 3: Quiz database attributes Working of Quiz Quiz section is separated into Subjects and each theme consists of 10 chapters. Every episode has a group of simple, medium and hard questions. Student has to choose subject and then section to start quiz consisting of 15 questions containing easy, medium and hard questions (5 each) chosen in chance order. After submitting the quiz, a thorough report will be provided to student consisting of subsequent A. Score out of 15 B. Questions Correct & Wrong C. Text Explanation of every question D. Video explanation of every question E. Reference link of online learning material F. PDF/Image files Quiz Scoring Each quiz consists of 15 question containing 5 easy, 5 medium and 5 hard questions in accidental arrange. Easy inquiry has 1 point, medium question has 2 points and hard questions have 3 points. Difficulty Points Questions Total Points 1 10 1 x 10 =10 Easy 10 2 x 10=20 Medium 2 3 10 3 x 10=30 Hard Total Points for a quiz = 10 +20+ 30 = 60 Table 4: Total Score of each quiz system Currently if a student get x easy, y medium and z hard questions correct out of 15 questions, then score in chapter i is intended as: ………….… (1) Student presentation level in chapter i is intended as: ………………………….. (2) Page categorization algorithm. If the presentation grade of the student is below AB then system generates an alert to student as well as the individual subject’s faculty and recommends study substance to student stored in database. The presentation level for all the chapters for which student takes quiz is intended. Lastly, the overall presentation in a course i consisting n chapters is calculated as 25 3.4 Performance Analyzer and Content Recommender (PACR) This component analyses the presentation level of student in all the 10 chapters of a subject and then classifies the student’s presentation grade in that question as either AA, AB, BB, BC, CC, CD, DD using IF-ELSE rule based © IJERGS, All Rights Reserved. Ganesh Kumar Jangid, et al. International Journal of Engineering Research and Generic Science (IJERGS) …………………….…. (3) IF-ELSE rules are practical on subsequent quality The classifier then assigns the final presentation grade of student based on Ci as: Grade’s Value Ci Value AA 90 and above AB 80-89 BB 70-79 BC 60-69 CC 50-59 CD 40-49 DD Below 40 Table 5: Grades Classification Frequency If the grade is below AB, then system mechanically displays the links of study materials connected with meticulous subdivision in quiz database. Consequently, faculty can also propose student material through email facility. 4. Methodology Processing During the expansion of project, subsequent phases existed. © IJERGS, All Rights Reserved. Page 4.1 Requirement gathering and analysis The difficulty and data considerate is decisive in decisive the achievement of this submission .Before the system expansion, problems and data sympathetic is recognized to describe the scheme objective and objectives. The problems of the existing systems are recognized and analysed for its efficiency and competence in term of functionality. After the problems are recognized, the solutions to resolve each difficulty is recognized and composed through journalism survey. Moreover, other comparable systems are studied and analysed for its features, strengths and weaknesses. This helps to recognize the needs and opportunities for the proposed system. 4.2 System analysis and design In this phase, the generally stream of the system is designed, analysed and intended. The system and user necessities are analysed. All the necessary scheme certification such as Software requirements specification (SRS), Project plan certification and design certification is done. Additionally, all the design diagrams such as class diagram use case 26 Figure 2: Development phasing System Ganesh Kumar Jangid, et al. International Journal of Engineering Research and Generic Science (IJERGS) diagrams, data flow diagrams and ER diagrams are organized in IBM Rational Rose to capture significant aspects and functionalities of the system. Intend of the proposed system also includes the design of database and user interface. 4.3 Implementation and testing During the completion phase, the scores of the students in quizzes is composed and analysed by using easy regulation base categorization algorithm in data mining to produce IF-THEN rules for classifying student into presentation grades. These regulations will be implemented into the IF-ELSE circumstance using JAVA. This categorization assists the faculty members to recognize those students who are performing poor in quizzes. Whole project is urbanized in eclipse IDE tool and written in JSP. HTML, CSS, JavaScript is used for front end design and My SQL holds the database. request is hosted on local host using Apache tomcat server. Figure 2: Implementation of IF-THEN Rules Page 27 4.4 Evaluation of System For the assessment of the system, 20 end-users are requested to assess the usability of the submission. This is to ensure the objectives of the proposed system are achieved as well as to ensure the ease of navigation across the interfaces of the proposed system. Moreover, the assessment is performed to ensure the high efficiency of the proposed system is achieved. From the evaluation performed, a list of users’ recommendation is confirmed as exposed lower A. Including online tutorials and assignments in the application. B. Appropriated recommendation generations. 5. Conclusion The project focuses on the attractive of user learning knowledge through online quizzes. A data mining technique which is a simple rule based classification algorithm is functional in this project to ensure precise calculation of the student’s performance level in a subject by methodically analysing this quiz scores. The key payment of the proposed system is that it assists the faculty in conducting student presentation analysis. The system assists faculty in identifying the students whose presentation is poor. Furthermore, system mechanically recommends study material and even allows the faculty to recommend study material to students having low performance taking the online quiz experience to a new level. 6. References [1]. J.Shana, and T.Venkatacalam, “A framework for dynamic Faculty Support System to analyse student course data”, International Journal of Emerging Technology and Advanced Engineering, Vol. 2, No. 7, 2012, pp.478-482. [2]. Quality Assurance Division (2010). In Minds: Intelligent Mining and Decision Support System. University Malaysia Sarawak, UNIMAS[Online].Available:http://www.qad.unimas.my/Function/ICTCompliance/inminds.html. [3].SPA (2013).What is SPA Standard? SPA Student Performance Analyser [Online]. Available:https://www.studentperformanceanalyser.com.au/spa/about.html. [4]. Student Performance Analysis System (SPAS) Chew Li Sa, Dayang Hanani bt. Abang Ibrahim, Emmy Dahliana Hossain, Mohammad bin Hossin Faculty of Computer Science and Information System University Malaysia Sarawak (UNIMAS) 94300, Kota Samarahan, Sarawak, Malaysia. [5]. Rule-Based Data Mining Methods for Classification Problems in Biomedical Domains Jinyan Li Limsoon Wong Institute for Info omm Research h 21 Heng Mui Keng Terra e, Singapore 119613 Email: fjinyan, lampooni2r.a-star.edu.sg July 26, 2004. [6]. A Generic Framework for Rule-Based Classification Arnaud Giacometti, Eynollah Khanjari Miyaneh Patrick Marcel, Arnaud Soulet L.I. University François Rabelais de Tours 41000 Blois, France. © IJERGS, All Rights Reserved.